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Are Adversarial Examples Created Equal? A Learnable Weighted Minimax
  Risk for Robustness under Non-uniform Attacks

Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks

24 October 2020
Huimin Zeng
Chen Zhu
Tom Goldstein
Furong Huang
    AAML
ArXiv (abs)PDFHTML

Papers citing "Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks"

13 / 13 papers shown
Title
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Daouda Sow
Herbert Woisetschläger
Saikiran Bulusu
Shiqiang Wang
Hans-Arno Jacobsen
Yingbin Liang
139
6
0
10 Feb 2025
Improving Adversarial Training using Vulnerability-Aware Perturbation
  Budget
Improving Adversarial Training using Vulnerability-Aware Perturbation Budget
Olukorede Fakorede
Modeste Atsague
Jin Tian
AAML
77
1
0
06 Mar 2024
Outlier Robust Adversarial Training
Outlier Robust Adversarial Training
Shu Hu
Zhenhuan Yang
X. Wang
Yiming Ying
Siwei Lyu
AAML
80
9
0
10 Sep 2023
Doubly Robust Instance-Reweighted Adversarial Training
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow
Sen-Fon Lin
Zhangyang Wang
Yitao Liang
AAMLOOD
100
2
0
01 Aug 2023
Sample Attackability in Natural Language Adversarial Attacks
Sample Attackability in Natural Language Adversarial Attacks
Vyas Raina
Mark Gales
SILM
110
1
0
21 Jun 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial
  Robustness
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
Yuancheng Xu
Yanchao Sun
Micah Goldblum
Tom Goldstein
Furong Huang
AAML
92
38
0
06 Feb 2023
Identifying Adversarially Attackable and Robust Samples
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark Gales
AAML
79
3
0
30 Jan 2023
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Learning Sample Reweighting for Accuracy and Adversarial Robustness
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
OOD
77
4
0
20 Oct 2022
Unsupervised Domain Adaptation for COVID-19 Information Service with
  Contrastive Adversarial Domain Mixup
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup
Huimin Zeng
Zhenrui Yue
Ziyi Kou
Lanyu Shang
Yang Zhang
Dong Wang
SSL
66
6
0
06 Oct 2022
Defending Substitution-Based Profile Pollution Attacks on Sequential
  Recommenders
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Zhenrui Yue
Huimin Zeng
Ziyi Kou
Lanyu Shang
Dong Wang
AAML
48
26
0
19 Jul 2022
Revisiting Contrastive Learning through the Lens of Neighborhood
  Component Analysis: an Integrated Framework
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
Ching-Yun Ko
Jeet Mohapatra
Sijia Liu
Pin-Yu Chen
Lucani E. Daniel
Lily Weng
SSL
79
14
0
08 Dec 2021
Certified Defense via Latent Space Randomized Smoothing with Orthogonal
  Encoders
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders
Huimin Zeng
Jiahao Su
Furong Huang
AAML
49
4
0
01 Aug 2021
Learnability and Robustness of Shallow Neural Networks Learned With a
  Performance-Driven BP and a Variant PSO For Edge Decision-Making
Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making
Hongmei He
Mengyuan Chen
Gang Xu
Zhilong Zhu
Zhenhuan Zhu
40
7
0
13 Aug 2020
1